讲座题目：Nestedness: A new framework of the economy complexity
Qingpeng Zhang received the B.S. degree in Automation from Huazhong University of Science and Technology in 2009, and the M.S. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering with a minor in Management Information Systems from The University of Arizona, in 2011 and 2012, respectively. Prior to joining CityU, he worked as a Postdoctoral Research Associate with The Tetherless World Constellation at Rensselaer Polytechnic Institute. His research interests include social informatics and social computing, complex networks, healthcare analytics, semantic social networks, and web science. His work has been supported by the National Natural Science Foundation of China (PI), Guangdong Provincial Natural Science Foundation (PI), and the Theme-based Research Scheme of Research Grants Council (Co-I).
主题：Modeling the Intervention of HIV Transmission across Key Populations
Abstract: The HIV transmissions between multiple key populations make interventions difficult, particularly with multiple transmission behaviors. It remains unclear how significant the role of bridge individuals (who connect multiple communities) is in HIV transmission, and how to develop more effective intervention strategies targeting different transmission modes across key populations. In this research, we proposed a 2-layer social network framework to simulate the HIV transmissions across female sex workers (FSWs) and persons who inject drugs (PWID) through two behaviors: unprotected sex and needle-sharing. We proposed a set of intervention strategies based on the topological properties of individuals in the social network and estimated the efficacy of these strategies. Simulation studies demonstrated that bridge individuals played a significant role in HIV transmissions across the two networks. Prevention on such bridge individuals could help reduce both the scale and speed of HIV transmissions.